Learning methods
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The effects of project-based learning on non-English-major students’ crucial soft skills development
This study seeks to explore the potential of the Project-based learning method in enhancing three important soft skills, including critical thinking, social-emotional skill, and self-regulation, which are believed to be beneficial for students’ sustainable development, among non-English-major students in a university in Ho Chi Minh city, Vietnam.
7p vipanly 28-10-2024 0 0 Download
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This research article explores the potential of active learning pedagogies to enhance student engagement, knowledge retention, and essential skill development in higher education. These learner-centered approaches, such as experiential, project-based, and inquiry-based learning, contrast with traditional lecture-based methods that prioritize passive information transfer.
7p vipanly 28-10-2024 2 1 Download
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This study aims to report on an investigation into Dong Nai University EFL students' beliefs and practices of autonomous learning. The study was carried out for 6 weeks in the first semester of school year 2023-2024 at Dong Nai University, Vietnam. The research employed a quantitative method by using a questionnaire to gather data from 80 English-majored students.
17p viengfa 28-10-2024 0 0 Download
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The study highlights the importance of beliefs in EFL teaching and learning and provides meaningful contributions to undergraduate preservice teachers, teachers and teacher educators to enhance the quality of teaching EFL to young learners in Vietnam in particular, and in other EFL contexts in general.
10p viengfa 28-10-2024 0 0 Download
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This paper investigates the impact of word embedding techniques on enhancing SMS spam detection models. Traditional statistical methods (BoW, TF-IDF) are compared with advanced techniques (Word2Vec, fastText, GloVe, PhoBERT) using a proprietary dataset.
5p viengfa 28-10-2024 2 2 Download
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In this article, we establish a Digital Radio over Fiber (DRoF) information system with two wireless channels utilizing two advanced phase modulation techniques, namely Differential Phase Shift Keying (DPSK), for the CRAN connection and investigate parameters related to nonlinearity such as refractive index n2.
6p viengfa 28-10-2024 2 2 Download
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This article conducts an exhaustive investigation into the utilization of machine learning (ML) methods for forecasting the maximum load capacity (MLC) of circular reinforced concrete columns (CRCC) using Fiber-Reinforced Polymer (FRP). Extreme Gradient Boosting (XGB) algorithm is combined with novel metaheuristic algorithms, namely Sailfish Optimizer and Aquila Optimizer, to fine-tune its hyperparameters.
18p viengfa 28-10-2024 2 2 Download
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Despite certain advancements achieving high accuracy, current methods still require substantial improvements to be applicable in practical scenarios. Diverging from text detection in images/videos, this paper addresses the issue of text detection within license plates by amalgamating multiple frames of distinct perspectives.
10p viengfa 28-10-2024 4 1 Download
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This research aimed to investigate teachers’ perceptions and practices of projectbased learning (PBL) in teaching speaking skill at some high schools in a Central Vietnam province. The mixed methods research was adopted with the population of twenty-five teachers of English as a foreign language (EFL).
16p viling 11-10-2024 1 0 Download
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In this paper, we propose a wavelet type-2 fuzzy brain imitated controller (WT2FBIC) for nonlinear robotic systems. The suggested method combines a wavelet type-2 fuzzy system (WT2FS) and a brain imitated controller (BIC) to improve learning efficiency.
11p viling 11-10-2024 0 0 Download
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The paper will present the design of techniques for building an application for testing and evaluating knowledge in the Data Structures and Algorithms course. This application will be a useful tool for both instructors and students, thereby enhancing the quality of teaching and learning in Information Technology-related subjects.
10p viling 11-10-2024 1 0 Download
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Low-rank representation (LRR) plays a significant role in image classification tasks due to its ability to capture the underlying structure and variations in image data. However, traditional low-rank representation-based dictionary learning methods struggle to leverage discriminative information effectively.
9p viling 11-10-2024 3 1 Download
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This study uses a convenience sampling method. The results showed that online anxiety had a positive effect on self-efficiency, coping had a positive effect on self-efficiency, and coping had a moderator in this relationship. Research results contribute to the theoretical basis of the relationship between online anxiety, coping, and self-efficiency.
12p vifilm 11-10-2024 5 1 Download
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The main method of this article is to evaluate the overall overview of smart urban planning and management, practicesand guidance for smart urban development in Vietnam, study the management of smart urban planning through the GIS systems of some countries in the world and draw lessons for Vietnam.
7p vibecca 01-10-2024 4 1 Download
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The results of using machine learning via genetic programming (GP) to automatically generate novel effective length factor formula in accordance with AISC standard are presented in this article. The data points obtained from applying the numerical method equation solving for the transcendental equation for the effective length of the braced frame were fed into the machine learning algorithm.
5p vibecca 01-10-2024 3 1 Download
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In this paper, a Convolutional Neural Network (CNN) method is employed to classify the crack/noncrack aerial images captured on the surface of concrete structures. The CNN model was trained and validated using the available experimental data of 4000 previously published images.
4p vibecca 01-10-2024 1 1 Download
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This paper presents a novel for Doppler frequency compensation in highspeed railway communication based on the results of estimating the train's velocity using machine learning algorithms. By leveraging advanced algorithm such as neural networks, our method dynamically predicts and compensates for Doppler shifts in real-time.
15p vibecca 01-10-2024 2 1 Download
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This paper scrutinizes two lane detection methods: image processing in isolation and integrating deep learning techniques with Hough transformation. The deep learning techniques specifically discuss two models, namely YOLOv8 pose estimation and YOLOv8 object detection.
14p vibecca 01-10-2024 3 1 Download
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In this study, we propose a method for generating mutated Windows malware against malware detection based on ensemble learning by combining GANs and RL to overcome the limitations of the MalGAN model.
15p viyoko 01-10-2024 2 1 Download
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This paper is aimed at evaluating the efficiency of Vietnamese SMS spam detection methods on different variants of Vietnamese datasets by utilizing both traditional machine learning models and deep learning models.
8p viyoko 01-10-2024 2 1 Download